Papers with Code 아카이브

Node Property Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

5

보존된 평가 기록

235

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/dmlc/dgl/tree/master/examples/pytorch/metapath2vec

https://github.com/dmlc/dgl/tree/master/examples/pytorch/node2vec

node2vec: Scalable Feature Learning for Networks

https://github.com/dmlc/dgl/tree/master/examples/pytorch/rgcn-hetero

Modeling Relational Data with Graph Convolutional Networks

https://github.com/dmlc/dgl/tree/master/examples/pytorch/sgc

Simplifying Graph Convolutional Networks

https://github.com/dmlc/dgl/tree/master/examples/pytorch/sign

SIGN: Scalable Inception Graph Neural Networks

https://github.com/dmlc/dgl/tree/master/examples/tensorflow/gat

Graph Attention Networks

https://github.com/dmlc/dgl/tree/master/examples/tensorflow/gcn

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/dmlc/dgl/tree/master/examples/tensorflow/rgcn

Modeling Relational Data with Graph Convolutional Networks

https://github.com/dmlc/dgl/tree/master/examples/tensorflow/sgc

Simplifying Graph Convolutional Networks

https://github.com/ds4dm/sGat

Graph Attention Networks

https://github.com/ds4dm/sparse-gcn

Graph Attention Networks

https://github.com/dugusiqing/caffe

SSD: Single Shot MultiBox Detector

https://github.com/dzb1998/pyGAT

Graph Attention Networks

https://github.com/eddiebarry/SingleShotDetector

SSD: Single Shot MultiBox Detector

https://github.com/elichienxD/SAGN_with_SLE

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

https://github.com/elichienxD/deep_gcns_torch

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

https://github.com/eliorc/node2vec

node2vec: Scalable Feature Learning for Networks

https://github.com/emartinezs44/SparkGCN

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/erfmah/answering_graph_queries

Inductive Representation Learning on Large Graphs

https://github.com/ethanhou99/ml_learn

SSD: Single Shot MultiBox Detector

https://github.com/fahrbach/icml-2020-faster-graph-embeddings

node2vec: Scalable Feature Learning for Networks

https://github.com/fanneng/caffe

SSD: Single Shot MultiBox Detector

https://github.com/fanzhenliu/dagad

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/feizc/Object-Detection-Pytorch

SSD: Single Shot MultiBox Detector

https://github.com/fongyk/graph-attention

Graph Attention Networks

https://github.com/freeniliang/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/galkampel/HyperNetworks

Graph Attention Networks

https://github.com/gayanku/FDGATII

Graph Attention Networks

https://github.com/gcucurull/jax-gat

Graph Attention Networks

https://github.com/giuseppefutia/link-prediction-code

Graph Attention Networks

https://github.com/giuseppefutia/semi

Modeling Relational Data with Graph Convolutional Networks

https://github.com/gmt710/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/gmt710/caffe_gpu

SSD: Single Shot MultiBox Detector

https://github.com/gmum/umwpl2021

Graph Attention Networks

https://github.com/gordicaleksa/pytorch-GAT

Graph Attention Networks

https://github.com/guillaumejaume/tuto-dl-on-graphs

Modeling Relational Data with Graph Convolutional Networks

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